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Run 8709072

Task 146607 (Supervised Classification) SpeedDating Uploaded 28-12-2017 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(1)	Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(6)_axis	0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features	[0, 2, 6, 7, 8, 9, 12, 13, 14, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 56, 57, 58, 59, 60, 67, 68, 69, 70, 71, 72, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 112, 113, 114, 117, 118]
openmlstudy14.preprocessing.ConditionalImputer(6)_copy	true
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty	0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values	"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy	"mean"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal	"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose	0
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features	[0, 2, 6, 7, 8, 9, 12, 13, 14, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 56, 57, 58, 59, 60, 67, 68, 69, 70, 71, 72, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 112, 113, 114, 117, 118]
sklearn.preprocessing.data.OneHotEncoder(18)_dtype	{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(18)_handle_unknown	"ignore"
sklearn.preprocessing.data.OneHotEncoder(18)_n_values	"auto"
sklearn.preprocessing.data.OneHotEncoder(18)_sparse	true
sklearn.feature_selection.variance_threshold.VarianceThreshold(12)_threshold	0.0
sklearn.preprocessing.data.StandardScaler(6)_copy	true
sklearn.preprocessing.data.StandardScaler(6)_with_mean	false
sklearn.preprocessing.data.StandardScaler(6)_with_std	true
sklearn.svm.classes.SVC(17)_C	0.04868366042303181
sklearn.svm.classes.SVC(17)_cache_size	200
sklearn.svm.classes.SVC(17)_class_weight	null
sklearn.svm.classes.SVC(17)_coef0	0.4091054732930237
sklearn.svm.classes.SVC(17)_decision_function_shape	null
sklearn.svm.classes.SVC(17)_degree	5
sklearn.svm.classes.SVC(17)_gamma	0.08961615180592925
sklearn.svm.classes.SVC(17)_kernel	"sigmoid"
sklearn.svm.classes.SVC(17)_max_iter	-1
sklearn.svm.classes.SVC(17)_probability	true
sklearn.svm.classes.SVC(17)_random_state	64021
sklearn.svm.classes.SVC(17)_shrinking	false
sklearn.svm.classes.SVC(17)_tol	1.9905714375153897e-05
sklearn.svm.classes.SVC(17)_verbose	false